Benign Overfitting for General Norms and Distributions

arXiv:2609.33675 · cs.LG, stat.ML · Submitted 2026-09-27 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Generalization — 7× in this paper · explained in 13 episodes
• Adam — 6× in this paper · explained in 2 episodes
• Homogeneity — 6× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adversarial Noise — 1× in this paper · explained in 1 episode
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

Sources

• Old Optimizer, New Norm: An Anthology
• Minimum Norm Interpolation via the Local Theory of Banach Spaces: The Role of $2$-Uniform Convexity
• Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of Gaussianity
• Optimal Rate of Kernel Regression in Large Dimensions

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